most citedDCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm

76 citations · 130 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 18 cited

CaRtGS: Computational Alignment for Real-Time Gaussian Splatting SLAM

Dapeng Feng, Zhiqiang Chen, Yizhen Yin +3

Simultaneous Localization and Mapping (SLAM) is pivotal in robotics, with photorealistic scene reconstruction emerging as a key challenge. To address this, we introduce Computation…

cs.RO2024

RELEAD: Resilient Localization with Enhanced LiDAR Odometry in Adverse Environments

Zhiqiang Chen, Hongbo Chen, Yuhua Qi +5

LiDAR-based localization is valuable for applications like mining surveys and underground facility maintenance. However, existing methods can struggle when dealing with uninformati…

cs.RO2024

CoLRIO: LiDAR-Ranging-Inertial Centralized State Estimation for Robotic Swarms

Shipeng Zhong, Hongbo Chen, Yuhua Qi +5

Collaborative state estimation using different heterogeneous sensors is a fundamental prerequisite for robotic swarms operating in GPS-denied environments, posing a significant res…

cs.RO2022★ 36 cited

S3E: A Multi-Robot Multimodal Dataset for Collaborative SLAM

Dapeng Feng, Yuhua Qi, Shipeng Zhong +5

The burgeoning demand for collaborative robotic systems to execute complex tasks collectively has intensified the research community's focus on advancing simultaneous localization…

cs.RO2022★ 76 cited

DCL-SLAM: A Distributed Collaborative LiDAR SLAM Framework for a Robotic Swarm

Shipeng Zhong, Yuhua Qi, Zhiqiang Chen +3

To execute collaborative tasks in unknown environments, a robotic swarm needs to establish a global reference frame and locate itself in a shared understanding of the environment.…